What GPU do I need to run XHToken/Spark-X2.5-4B?

4.1B parameters, published in BF16. View on Hugging Face

Set up Spark-X2.5-4B
4.1B
Parameters
BF16
Native precision
Spark2_5ForCausalLM
Architecture
text-generation
Pipeline

Spark-X2.5-4B is published by XHToken on Hugging Face, with 429 downloads and 81 likes to date. It's a Spark2_5ForCausalLM model built for text-generation, published natively in BF16.

VRAM required & cheapest live GPU fit

Required VRAM = weight size at each precision, plus a fixed overhead for KV-cache, activations, and fragmentation. Full formula and assumptions: methodology.

Precision
Weight size
Required VRAM
Cheapest live fit
GPUs needed
Est. $/hr (full fit)
BF16
7.7 GB
9.2 GB
RTX 3080 (simplepod)
1
$0.070/hr
FP8 (quantized)
3.8 GB
4.6 GB
RTX 4080 (akash)
1
$0.158/hr
INT4 (quantized)
1.9 GB
2.3 GB
RTX 3070 (simplepod)
1
$0.050/hr

A GPU is only matched to a row if its hardware supports that precision, and the primary recommendation is always a single-GPU fit when one exists.

INT4 requires a quantized checkpoint actually published for this model, check its Hugging Face page before relying on this row.

Cheapest way to run Spark-X2.5-4B at its published (BF16) precision: 1× RTX 3080 on simplepod, at $0.070/hr per GPU ($0.070/hr total). Quantizing to FP8 or INT4 (rows above) can cost less, but requires a compatible quantized checkpoint to exist for this model.

Weight-to-VRAM math, the fit rules, and how live prices are normalized: full methodology.

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